license: apache-2.0
tags:
- text-generation
- gguf
- nvfp4
- fp4
- moe
- qwen3.6
- hermes
- uncensored
- vision
- multimodal
- genesis
- llama-cpp
language: - en
- multilingual
pipeline_tag: text-generation
base_model: - HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
Hermes3.6-35B-A3B-Uncensored-Genesis-NVFP4-GGUF
This repository contains the NVFP4 (NVIDIA 4-bit Floating Point) quantized GGUF release of LuffyTheFox's Hermes 3.6 35B A3B Uncensored Genesis model.
- Original Creators & Fine-Tuners: LuffyTheFox & HauhauCS
- Quantization Format: NVFP4 (NVIDIA FP4) GGUF
- Architecture: Mixture of Experts (MoE) — 35B total parameters / ~3B active per token (8 active experts)
⚡ Sampling Recommendations (Genesis SVD Stabilization)
According to tests after Marchenko–Pastur SVD noise-gate stabilization, the model is most stable when Top P and Min P sampling are disabled, as the tensor noise gate has been removed. Only Temperature and Top K sampling should be used.
Recommended Parameters:
| Task Type | Temperature | Top K | Top P | Min P | Seed | Presence Penalty | Repeat Penalty |
|---|---|---|---|---|---|---|---|
| Coding / Precise (Thinking / Non-Thinking) | 0.6 |
20 |
Disabled (1.0) | Disabled (0.0) | 42 |
0.0 |
1.0 (or 1.05 for agent) |
| Creative / General (Non-Thinking) | 0.95 |
20 |
Disabled (1.0) | Disabled (0.0) | 42 |
0.0 |
1.0 |
🛠️ Tool Calling & Hermes Agent Compatibility Fix
If running with the qwen3.6-froggeric chat template through Hermes Agent, the template defaults to XML tool call output (<function=...><parameter=...>), whereas Hermes Agent expects standard OpenAI JSON tool calls.
To ensure seamless JSON tool calling, pass tool_call_format: "json" in --chat-template-kwargs:
{"enable_thinking": false, "tool_call_format": "json"}
(Or set line 2 of chat_template.jinja default from xml to json).
💡 Recommended System Prompts
1. Default / First Experience (High Stability)
You are Qwen (Tongyi Qianwen), a large language model developed by Alibaba Group's Tongyi Lab.
2. Agentic Tasks (JSON Schema Output)
You are Qwen (Tongyi Qianwen), a large language model developed by Alibaba Group's Tongyi Lab. You are a helpful assistant that answers in JSON. Here's the json schema you must adhere to:
<schema>
{schema}
</schema>
🚀 Usage Example (llama-server / llama.cpp)
1. Coding / Precise Tasks (64K Context)
llama-server \
--host 0.0.0.0 --port 8080 \
--model Hermes3.6-35B-A3B-Uncensored-Genesis-NVFP4.gguf \
--override-kv qwen2moe.expert_used_count=int:8 \
--n-gpu-layers all \
--flash-attn on \
--cache-type-k f16 \
--cache-type-v f16 \
--ctx-size 65536 \
--batch-size 2048 \
--ubatch-size 512 \
--temp 0.6 \
--top-p 1.0 \
--top-k 20 \
--min-p 0.0 \
--seed 42 \
--presence-penalty 0 \
--repeat-penalty 1.0 \
--jinja \
--chat-template-file chat_template.jinja \
--reasoning off \
--chat-template-kwargs '{"enable_thinking":false, "tool_call_format":"json"}'
2. Multimodal (Vision) Support
Simply add the mmproj projector parameter:
--mmproj mmproj-Hermes3.6-35B-A3B-Uncensored-Genesis-F16.gguf
📦 Repository Files
| File | Description |
|---|---|
Hermes3.6-35B-A3B-Uncensored-Genesis-NVFP4.gguf |
Main model weights (NVFP4 GGUF) |
mmproj-Hermes3.6-35B-A3B-Uncensored-Genesis-F16.gguf |
Vision multimodal projector (F16) |
chat_template.jinja |
Jinja chat template with JSON tool call support |
Credits & Attribution
- LuffyTheFox for the Genesis post-training calibrations and Hermes fine-tuning.
- HauhauCS for the base fine-tunes.
- Chat template by froggeric & qweefchief.
good luck on your journey, YMMV!